Massive growth in the big data and requirement of data relationship and instant recommendation of co-related data sets.
Market Size – USD 1.17 Million in 2019, Market Growth - CAGR of 25.8%, Market Trends – Enormous growth in the big data and data producer and importance of data-driven insights & recommendations
The Global Graph Database Market is forecast to reach USD 7.39 Billion by 2027. The growing importance of understanding & managing the big data and fostering enterprise-wide data to turn it into a meaningful insight so that actionable steps can be taken on time to sustain a competitive landscape. Object oriented visualization, real-time big data update with simultaneous supporting queries, powerful recursive network of data, advanced problem solving capabilities, and exhibiting constant performance in real-time of the data size growth are some of the key factors that have been increased the usability of the graph databases amongst the end-use verticals.
Operation management in IT and networking companies, instant recommendation engines, risk investigation & fraud detection, identity management, master data management, catalog management, access management, data relationship management and others have some of the most relevant use-cases of graph database. Starting from the global conglomerates to up till the start-ups and even the non-profit organizations are consistently making use of the graph databases to find unprecedented insights to carry out target marketing and set a persistent competitions and also use of numerous case studies to predict the best possible outcome.
This ever growing need to efficiently store & process the highly connected big data has resulted in a common interest in the proper database relationship management. With the help of graph database, nodes & relationships of the data sets have proved its necessity to be as much valuable as the data itself. Enterprise finds the data relationships are extremely important is easily discoverable, and upon easy matching of the relationships, it makes quite easier to make associations & form theories about the available data. A graph database is capable of transforming the complex cobweb of dynamic data or big data into a precisely distinguished and meaningful relationships that help deliver real-time insights and help undergo immediate actions.
Key participants include IBM, TIBCO Software Inc., Oracle Corporation, Amazon Web Services, Microsoft Corporation, Neo4j, OrientDB, OpenLink Software, DataStax, Inc., and TigerGraph, among others.
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Market Overview:
The research report assesses the market dynamics, market landscape, company profiles, production and manufacturing capacity, year-on-year growth rate, SWOT analysis, and Porter’s Five Forces analysis. The report estimates the market size, market growth, and provides an accurate forecast for the key segments of the market for the forecast period of 2020-2028. The report also covers an in-depth analysis of the key competitors of the market, along with their growth strategies and business expansion plans.
The Graph Database Market has been segmented into key regions of the world and offers an analysis of growth rate, market share, market size, current and emerging trends, production and consumption ratio, industrial chain analysis, demand and supply, import and export, revenue contribution, and presence of key players in each region. A country-wise analysis of the market is offered in the report to gain a better understanding of the regional spread and progress of the Graph Database Market.
Further key findings from the report suggest
• In November 2019, Neo4j, Inc., launched Aura, a fully managed cloud database that will run on Google cloud platform. The new development with Google cloud and developer-first approach by the company make Aura a highly demanded position in the market.
• In June 2019, data.world, Inc., a US based company Graph Database & data analysis company announced its acquisition of Capsenta, Inc., a data virtualization company in order to enable businesses to securely able to access, view, relate and work with on-premises databases in the cloud.
• Many data experts have estimated that nearly 70 percent of the data generated from the customers’ end remains unknown and unserviceable. Analytical insights would have been quite faster if only the relations and nodes of the data could be studied in real-time. That is where the graph database helps many business verticals providing with a super simplified analytical relationship to the vast big data and help derive faster and accurate insights.
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For the purpose of this study, Reports and Data have segmented the Graph Database market on the basis of application, deployment mode, type, end-use verticals, and region:
Application Outlook (Revenue, USD Million; 2019-2027)
• Consumer Analytics
• Deep Learning
• Regulatory Compliance
• Recommendation Engines
• Identity & Access Management
• Fraud Detection
• Supply Chain Management
• Others
Deployment Mode Outlook (Revenue, USD Million; 2019-2027)
• Cloud
• On-premises
Type Outlook (Revenue, USD Million; 2019-2027)
• Resource Description Framework
• Property Graph
Organization Size Outlook (Revenue, USD Million; 2019-2027)
• Large Enterprises
• SMEs
End-Use Verticals Outlook (Revenue, USD Million; 2019-2027)
• BFSI
• Retail & E-Commerce
• IT & Telecommunication
• Transportation & Logistics
• Others
Regional Outlook (Revenue, USD Million; 2019-2027)
• North America
o U.S
o Canada
• Europe
o Germany
o France
o U.K
o Spain
o Italy
o Rest of the Europe
• Asia Pacific
o China
o India
o Japan
o Rest of Asia-Pacific
• Middle East and Africa
• Latin America
o Brazil
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Key Advantages of Graph Database Report:
• Identification and analysis of the market size and competition
• Qualitative and quantitative analysis of the market data
• Data validated by industry experts after extensive primary and secondary research
• Extensive regional analysis of the Graph Database industry
• Profiling of key players along with their business overview, business strategies, deals and partnerships, and product portfolio
• SWOT and Porter’s Five Forces Analysis for in-depth understanding of the competitive landscape
• Feasibility analysis and investment analysis to enable strategic investment decisions
• Analysis of opportunities, drivers, restraints, challenges, risks, and limitations
Conclusively, all aspects of the Graph Database Market are quantitatively as well qualitatively assessed to study the global as well as regional market comparatively. This market study presents critical information and factual data about the market providing an overall statistical study of this market on the basis of market drivers, limitations and its future prospects.
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